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Data Mining Algorithms In R/Packages/gausspred
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Description
This software is used to predict the discrete response based on selected high dimensional
features, such as gene expression data. The data are modeled with Bayesian Gaussian models.
When a large number of features are available, one may like to select only a subset of features to
use, typically those features strongly correlated with the response in training cases. Such a
feature selection procedure is however invalid since the relationship between the response and
the features will appear stronger. This package provides a way to avoid this bias and yields
well-calibrated prediction for the test cases when one uses F-statistic to select features.
Requirements
R (>= 2.8.1)
General API
/assess prediction/
/data gau/
/train pred gau/